Karl Sjöstrand

49 total papers · 855 total citations
28 papers, 449 citations indexed

About

Karl Sjöstrand is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karl Sjöstrand has authored 28 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karl Sjöstrand's work include Advanced MRI Techniques and Applications (5 papers), Medical Image Segmentation Techniques (5 papers) and Cardiac Imaging and Diagnostics (5 papers). Karl Sjöstrand is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Medical Image Segmentation Techniques (5 papers) and Cardiac Imaging and Diagnostics (5 papers). Karl Sjöstrand collaborates with scholars based in Denmark, Sweden and Japan. Karl Sjöstrand's co-authors include Rasmus Larsen, Lars Edenbrandt, Mikkel B. Stegmann, Masahisa Onoguchi, Hiroyuki Horikoshi, Line Katrine Harder Clemmensen, Bjarne Kjær Ersbøll, Guðmundur Einarsson, Mattias Ohlsson and Milan Lomsky and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Statistical Software and Drug and Alcohol Dependence.

In The Last Decade

Karl Sjöstrand

26 papers receiving 428 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karl Sjöstrand	152	107	76	68	67	28	449
Yung‐Kyun Noh	79 0.5×	34 0.3×	88 1.2×	84 1.2×	21 0.3×	46	498
Abhirup Banerjee	200 1.3×	37 0.3×	132 1.7×	110 1.6×	20 0.3×	50	457
Hadj Batatia	118 0.8×	23 0.2×	171 2.3×	103 1.5×	47 0.7×	54	498
Pascal Cathier	267 1.8×	101 0.9×	114 1.5×	51 0.8×	122 1.8×	21	463
Ricardo S. Avila	224 1.5×	192 1.8×	76 1.0×	36 0.5×	23 0.3×	27	428
Nina Zhou	119 0.8×	24 0.2×	70 0.9×	121 1.8×	13 0.2×	34	528
Saima Rathore	267 1.8×	58 0.5×	209 2.8×	244 3.6×	86 1.3×	27	550
Xiao Jin	145 1.0×	48 0.4×	207 2.7×	52 0.8×	63 0.9×	34	530
Arie Nakhmani	87 0.6×	202 1.9×	86 1.1×	41 0.6×	28 0.4×	65	499
Earl E. Gose	73 0.5×	23 0.2×	133 1.8×	183 2.7×	10 0.1×	24	456

Countries citing papers authored by Karl Sjöstrand

Since Specialization

Citations

This map shows the geographic impact of Karl Sjöstrand's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Karl Sjöstrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Sjöstrand more than expected).

Fields of papers citing papers by Karl Sjöstrand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl Sjöstrand. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Karl Sjöstrand. The network helps show where Karl Sjöstrand may publish in the future.

Co-authorship network of co-authors of Karl Sjöstrand

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Sjöstrand. A scholar is included among the top collaborators of Karl Sjöstrand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karl Sjöstrand. Karl Sjöstrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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